"Information and resources about memory" matching MCP servers:

Provides persistent, globally-distributed memory for AI agents using CockroachDB's MCP Server and AWS S3 backups, with session isolation, audit trails, and full-text search.

Enables AI agents to store, search, list, and forget long-term memories in a fixed namespace backed by S3-compatible storage, with optional read-only mode and provenance-tagged recall results.

Stores photos and notes as experience memories in Google Drive and enables natural language search to retrieve them later.

Provides tools for reading, modifying, and analyzing Google Sheets, as well as searching and managing Google Drive spreadsheets with access control.

A Model Context Protocol (MCP) server for ZeroDrive file management. It enables AI assistants like Claude to interact with ZeroDrive cloud storage through a standardized interface.

Lets MCP-compatible AI apps read and update files inside Cryptomator vaults after the user unlocks them, keeping keys in memory and allowing changes to be undone.

A read-only MCP server for Akamai Cloud (Linode) that lets users ask plain-language questions about their account, including inventory, pricing, GPU availability, and account limits.

MCP server that integrates Google Drive, RAG, and memory services for context-aware knowledge management, enabling session, project, document, catalog, and knowledge operations for AI assistants.

An MCP server for Sakura Cloud that enables interaction with cloud resources and object storage. It allows users to manage Sakura Cloud infrastructure through natural language interfaces using the Model Context Protocol.

A Model Context Protocol server for interacting with Lanzou Cloud storage. It provides authentication, file listing, download information retrieval, and direct link parsing capabilities for Lanzou Cloud services.

Gives AI assistants hands-on control over Google Play Console and Google Cloud Console using an authorized Google identity. Exposes 95 tools for shipping app builds and release tracks, managing store listings, reviews, in-app products, GCP projects and IAM, Firebase projects and App Distribution, and Cloud Storage or Artifact Registry resources.

Enables AI assistants to interact with and manage Google Cloud Platform resources including Artifact Registry, BigQuery, Cloud Build, Compute Engine, Cloud Run, Cloud Storage, and monitoring services through a standardized MCP interface.

Harnios is a self-hosted, MCP-based storage system that gives every AI assistant you use — Claude, ChatGPT, Cursor, or anything else — a shared, persistent memory of your business: knowledge base, skills, projects, operational tables, and reports, all in one place. Connect a new tool once, and it reads and writes through the same store instead of starting from zero.

Enables management of Zadara VPSA Storage Arrays and Object Storage endpoints, including volume operations, snapshot creation, and bucket management. It allows users to interact with storage resources and retrieve performance metrics using natural language or custom API requests.

A unified FastAPI web panel and single MCP gateway that aggregates knowledge base, cloud drive, kanban, memory, and ops agent capabilities for the Brain product family.

Enables AI agents to run citation-backed retrieval over a read-only, bounded knowledge base, exposing a ranked search tool, document resources, and a grounding prompt that labels retrieved text as untrusted. The corpus can be loaded from local disk or from AWS S3, Azure Blob Storage, or Google Cloud Storage through their official SDKs, with fail-closed startup if a provider cannot be reached.

Read-only MCP server for Chaoxing (学习通) that logs into a user's account and exposes their class schedule, enrolled courses, course materials downloads, homework status, exam schedules and scores, chapter task-point progress, notices, and personal cloud drive files. Enables any MCP client to answer natural-language questions about a student's coursework without submitting anything or modifying account data.

Enables AI agents to maintain a shared, serverless, conflict-free knowledge graph across multiple machines by syncing append-only per-node shards. It provides drop-in compatibility with the official MCP memory tools while converging automatically without merge conflicts.

MCP server for the Solid protocol enabling AI models to read, write, search, and manage resources in Solid pods.

Enables LLMs and AI agents to browse, read, write, search, upload, organize, share, and monitor files across OpenList/AList-mounted storage through the Model Context Protocol. It includes safety controls such as read-only mode, path allowlists, and delete confirmation.